The experiments of astronomical high resolution image reconstruction showed that the efficiency of the Building Block is raised obviously.
天文高分辨率像复原实验表明，砌砖法的效率被大大地提高了。
In Chapter 2, we consider using CGE method (i. e. CG with early stop criterion) to solve the super-resolution image reconstruction problem.
第二章，我们考虑用CGE方法(即带早停止准则的共轭梯度法)求解超解像度图像重构问题。
The observation of high resolution image reconstruction with speckle holography for two astronomical double stars ADS11344 and ADS16648 was reported.
简要地介绍了斑纹全息术的原理，报道了用斑纹全息术对两天文双星ads11344和ADS16648进行的高分辨率像复原观测结果。
However, due to the ill-posed nature of the super-resolution image reconstruction, the ringing artifacts can not be easily removed in the reconstruction process.
但是，由于超分辨率图像重构本身是一个病态求逆过程，在重构图像中所产生的边缘振荡效应往往很难在重构过程中予以消除。
The algorithm also provides a reliability measure of the estimated result, which was introduced into the super-resolution image reconstruction to overcome the influence of the estimation error.
给出了运动估计的置信度度量，并将其引入到图像恢复算法中，进一步克服了运动估计误差的影响。
This dissertation mainly studies EIT image reconstruction algorithms with the aim of increasing precision and spatial resolution of EIT.
本论文以提高图像空间分辨率和成像精度为目标，着重研究EIT图像重建算法。
An adaptive filter for video image sequence super resolution reconstruction is proposed on the basis of the weighted least square and PDE regularization in this paper.
在加权最小二乘的基础上，结合PDE正则化，提出了一种视频图像序列超分辨率重建的自适应滤波方法。
Objective To solve the problem of low resolution and more artifacts in image reconstruction from incomplete projections.
目的解决少数据投影图像重建中分辨率差、伪影严重等问题。
RCS reconstruction filter of high resolution SAR image based on a modified correlated neighborhood model is presented in this paper.
提出了一种基于改进相关邻域模型的SAR图像RCS重构滤波器，特别对高分辨率的SAR图像具有很好的去斑效果。
The Industrial Computed Tomography(ICT) inspection need deal with large processing data and requests high resolution of reconstruction image, thus demanding high-speed of reconstruction algorithm.
工业CT检测扫描数据量大，重建图像分辨率要求高，并且要求重建算法有很高的重建速度。
Wavelet provides a compact multi-resolution representation and reconstruction of image, which makes it possible to exploit the property of Human Visual System for image coding.
小波变换提供了一种图像的多分辨率分解重建的表示形式，这种小波分解能够有效的利用人类视觉系统的特性压缩图像。
Image super-resolution restoration and enhancement (SR) based on reconstruction is a typically ill-posed and high-dimensional problem, which needs effective regularization to stable the solution.
基于重建的超分辨率（SR）方法中，图像求解是典型的高维病态问题，需借助有效的正则来稳定求解。
The basic imaging model is discussed, and a novel algorithm based on steering kernel regression method as a regularization term for super resolution reconstruction of sequence image is proposed.
讨论了图像成像的基本模型，并提出了一种基于调整核回归函数作为正则项的序列图像重建算法。
Super resolution (SR) image reconstruction is a technique to recover a high resolution image from several low resolution images using the non-redundant information among them.
影像超分辨率重建是通过对多幅具有互补信息的低分辨率影像的处理，重构一幅高分辨率影像的技术。
This is because of the small recording area of the electronic record device (CCD), so the recorded digital hologram resolution is very low and the reconstruction image quality is affected greatly.
这是由于电子记录器件CCD的记录面积小，所记录数字全息图的分辨率低，这大大影响了再现像的质量。
A new super-resolution face image reconstruction method based on linear object-class theory is proposed to deal with the problem of low-resolution face images.
为了解决单幅低分辨率人脸图像重构问题，提出了基于线性物体类理论重构超分辨率人脸图像的新方法。
Multiframe super-resolution reconstruction is an active topic in image processing which is urgently needed in many military and civilian applications as well as theoretical interests.
多帧图像的超分辨率重建技术已被证明是一种行之有效的解决上述问题的方法。
In this paper, a new joint Maximum a Posterior (MAP) formulation was proposed to integrate image registration into blind image Super-Resolution (SR) reconstruction to reduce image registration errors.
为了减小配准误差对盲超分辨率重建的影响，提出了一种影像配准和盲超分辨率重建联合处理的模型与方法。
In this paper, a new joint Maximum a Posterior (MAP) formulation was proposed to integrate image registration into blind image Super-Resolution (SR) reconstruction to reduce image registration errors.
为了减小配准误差对盲超分辨率重建的影响，提出了一种影像配准和盲超分辨率重建联合处理的模型与方法。
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